期刊
IEEE COMMUNICATIONS MAGAZINE
卷 54, 期 10, 页码 53-59出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/mcom.2016.7588229
关键词
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资金
- National Science Foundation of China [61303202, 61472283, 61103185]
- China Postdoctoral Science Foundation [2014M560334, 2015T80433]
- Fundamental Research Funds for the Central Universities [2015ZZ079, 2013KJ034, 2100219043]
- Fok Ying-Tong Education Foundation, China [142006]
- NSF of China [61322102]
New-generation industries heavily rely on big data to improve their efficiency. Such big data are commonly collected by smart nodes and transmitted to the cloud via wireless. Due to the limited size of smart node, the shortage of energy is always a critical issue, and the wireless data transmission is extremely a big power consumer. Aiming to reduce the energy consumption in wireless, this article introduces a potential breach from data redundancy. If redundant data are no longer collected, a large amount of wireless transmissions can be cancelled and their energy saved. Motivated by this breach, this article proposes a compressive-sensing-based collection framework to minimize the amount of collection while guaranteeing data quality. This framework is verified by experiments and extensive realtrace-driven simulations.
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